Macrophage diversity in human cancers

• Verfasst von: Rakina, Militsa [VerfasserIn]
• Verfasst von: Larionova, Irina [VerfasserIn]
• Verfasst von: Kzhyshkowska, Julia [VerfasserIn]
• Titel: Macrophage diversity in human cancers
• Titelzusatz: new insight provided by single-cell resolution and spatial context
• Verf.angabe: Militsa Rakina, Irina Larionova, Julia Kzhyshkowska
• E-Jahr: 2024
• Jahr: 15 April 2024
• Umfang: 21 S.
• Illustrationen: Illustrationen
• Fussnoten: Gesehen am 03.02.2025
• Titel Quelle: Enthalten in: Heliyon
• Ort Quelle: London [u.a.] : Elsevier, 2015
• Jahr Quelle: 2024
• Band/Heft Quelle: 10(2024), 7 vom: Apr., Artikel-ID e28332, Seite 1-21
• ISSN Quelle: 2405-8440
• DOI: doi:10.1016/j.heliyon.2024.e28332
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Diversity
• Sach-SW: Phenotype
• Sach-SW: Plasticity
• Sach-SW: Single-cell analysis
• Sach-SW: Spatial transcriptomics
• Sach-SW: Subpopulation
• Sach-SW: Tumor-associated macrophages
• K10plus-PPN: 1916161170

Abstract

M1/M2 paradigm of macrophage plasticity has existed for decades. Now it becomes clear that this dichotomy doesn't adequately reflect the diversity of macrophage phenotypes in tumor microenvironment (TME). Tumor-associated macrophages (TAMs) are a major population of innate immune cells in the TME that promotes tumor cell proliferation, angiogenesis and lymphangiogenesis, invasion and metastatic niche formation, as well as response to anti-tumor therapy. However, the fundamental restriction in therapeutic TAM targeting is the limited knowledge about the specific TAM states in distinct human cancer types. Here we summarized the results of the most recent studies that use advanced technologies (e.g. single-cell RNA sequencing and spatial transcriptomics) allowing to decipher novel functional subsets of TAMs in numerous human cancers. The transcriptomic profiles of these TAM subsets and their clinical significance were described. We emphasized the characteristics of specific TAM subpopulations - TREM2+, SPP1+, MARCO+, FOLR2+, SIGLEC1+, APOC1+, C1QC+, and others, which have been most extensively characterized in several cancers, and are associated with cancer prognosis. Spatial transcriptomics technologies defined specific spatial interactions between TAMs and other cell types, especially fibroblasts, in tumors. Spatial transcriptomics methods were also applied to identify markers of immunotherapy response, which are expressed by macrophages or in the macrophage-abundant regions. We highlighted the perspectives for novel techniques that utilize spatial and single cell resolution in investigating new ligand-receptor interactions for effective immunotherapy based on TAM-targeting.